Future Directions for Intelligent Systems and Information Sciences

1. Front Matter

   Pages I-VIII

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2. Adaptive, Evolving, Learning Systems

   1. Front Matter

      Pages 1-1

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   2. ECOS — Evolving Connectionist Systems — a New/Old Paradigm for On-line Learning and Knowledge Engineering

      • Nikola Kasabov

      Pages 3-12

   3. Artificial Life Technology for Adaptive Information Processing

      • Sung-Bae Cho

      Pages 13-33

   4. Evolving ANN Controllers for Smart Mobile Robots

      • R. J. Duro, J. Santos, J. A. Becerra

      Pages 34-64

   5. A Simulation Environment for the Manipulation of Naturally Variable Objects

      • George Coghill

      Pages 65-74

   6. Behavior-Decision Fuzzy Algorithm for Autonomous Mobile Robot

      • Yoichiro Maeda

      Pages 75-101

   7. Modelling the Emergence of Speech and Language Through Evolving Connectionist Systems

      • John Taylor, Nikola Kasabov

      Pages 102-125

3. Intelligent Human Computer Interaction and Scientific Visualisation

   1. Front Matter

      Pages 127-127

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   2. Discovering the Visual Signature of Painters

      • H. Jaap van den Herik, Eric O. Postma

      Pages 129-147

   3. Multimodal Interactions with Agents in Virtual Worlds

      • Anton Nijholt, Joris Hulstijn

      Pages 148-173

   4. Virtual BioBots

      • Michael Paulin, Rachel Berquist

      Pages 174-187

4. New Connectionist Computational Paradigms: Brain-Like Computing and Quantum Neural Networks

   1. Front Matter

      Pages 189-189

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   2. Future Directions for Neural Networks and Intelligent Systems from the Brain Imaging Research

      • John G. Taylor

      Pages 191-212

   3. Quantum Neural Networks

      • Alexandr A. Ezhov, Dan Ventura

      Pages 213-235

   4. Suprathreshold Stochastic Resonance in a Neuronal Network Model: a Possible Strategy for Sensory Coding

      • Nigel G. Stocks, Riccardo Mannella

      Pages 236-247

5. Bioinformatics

   1. Front Matter

      Pages 249-249

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   2. Information Science and Bioinformatics

      • Chris Brown, Mark Schreiber, Bernice Chapman, Grant Jacobs

      Pages 251-287

   3. Neural Network System for Promoter Recognition

      • Vladimir B. Bajić, Ivan V. Bajić

      Pages 288-305

6. Knowledge Representation, Knowledge Processing, Knowledge Discovery and Some Applications

   1. Front Matter

      Pages 307-307

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This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill . (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.

• Radiologieinformationssystem
• WWW
• agents
• artificial life
• bioinformatics
• informatics
• intelligent systems
• interaction
• knowledge discovery
• learning
• multimedia
• networks
• neural networks
• robot
• visualization

• Department of Information Science, University of Otago, Dunedin, New Zealand

  Nikola Kasabov

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